class_docstr: Remote dataset
  
  Arguments:
      name (str): name of the data set, as specified in
       :class:`labml_helpers.datasets.remote.DatasetServer`
      host (str): hostname of the server
      post (int): port of the server
  
  `Here's a sample <https://github.com/labmlai/labml/blob/master/helpers/labml_helpers/datasets/remote/test/mnist_train.py>`_
code: def __init__(
      self, name: str, host: str = "0.0.0.0", port: int = 8000
  ):
      self.name = name
      self.port = port
      self.host = host
      self.http = urllib3.PoolManager()
      self._len = None
  
file_path: labml/helpers/labml_helpers/datasets/remote/client.py
imports: import pickle
  import matplotlib.pyplot
  import urllib3
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 to create a new RemoteDataset object from inherited base classes: Dataset with example: obj = RemoteDataset(name, host, port)